One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing

Ming Jie Lee; Zhe Jin; Andrew Beng Jin Teoh

doi:10.1109/WIFS.2018.8630782

One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing

Ming Jie Lee, Zhe Jin, Andrew Beng Jin Teoh

Malaysia Sch of Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

21 Citations (Scopus)

Abstract

Cancellable biometrics is a biometric template protection method that generates a noninvertible identifier from the original biometric template by means of a parameterized transformation function and user/application-specific parameters such as token or password. However, the necessity to input additional factor besides biometrics, jeopardizes usability of the biometrics and security. In this paper, a one-factor cancellable biometrics scheme namely Extended Feature Vector (EFV) hashing, which requires sole biometric as input is proposed. The EFV hashing utilizes a permutated key that separated from the biometric data, to serve as identifier for matching. The crux that enables one-factor authentication in this scheme is the permutation seed of the key is derived from the biometric features of the user, but not from second factor as in existing schemes. The evaluations have been carried out with FVC 2002 and 2004 databases and attest the proposed method satisfies cancellable biometrics design criteria. We also analyze four privacy and security attacks that targeted to this scheme.

Original language	English
Title of host publication	10th IEEE International Workshop on Information Forensics and Security, WIFS 2018
Editors	Pong C Yuen, Jiwu Huang
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-7
Number of pages	7
ISBN (Electronic)	9781538665367
ISBN (Print)	9781538665374
DOIs	https://doi.org/10.1109/WIFS.2018.8630782
Publication status	Published - 2018
Event	IEEE International Workshop on Information Forensics and Security (WIFS) 2018 - Hong Kong, China Duration: 10 Dec 2018 → 13 Dec 2018 Conference number: 10th https://ieeexplore.ieee.org/xpl/conhome/8627366/proceeding (Proceedings)

Conference

Conference	IEEE International Workshop on Information Forensics and Security (WIFS) 2018
Abbreviated title	WIFS 2018
Country/Territory	China
City	Hong Kong
Period	10/12/18 → 13/12/18
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8627366/proceeding (Proceedings)

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10.1109/WIFS.2018.8630782

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Lee, M. J., Jin, Z., & Teoh, A. B. J. (2018). One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing. In P. C Yuen, & J. Huang (Eds.), 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018 (pp. 1-7). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/WIFS.2018.8630782

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title = "One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing",

abstract = "Cancellable biometrics is a biometric template protection method that generates a noninvertible identifier from the original biometric template by means of a parameterized transformation function and user/application-specific parameters such as token or password. However, the necessity to input additional factor besides biometrics, jeopardizes usability of the biometrics and security. In this paper, a one-factor cancellable biometrics scheme namely Extended Feature Vector (EFV) hashing, which requires sole biometric as input is proposed. The EFV hashing utilizes a permutated key that separated from the biometric data, to serve as identifier for matching. The crux that enables one-factor authentication in this scheme is the permutation seed of the key is derived from the biometric features of the user, but not from second factor as in existing schemes. The evaluations have been carried out with FVC 2002 and 2004 databases and attest the proposed method satisfies cancellable biometrics design criteria. We also analyze four privacy and security attacks that targeted to this scheme.",

author = "Lee, {Ming Jie} and Zhe Jin and Teoh, {Andrew Beng Jin}",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NO. 2016R1A2B4011656). Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; IEEE International Workshop on Information Forensics and Security (WIFS) 2018, WIFS 2018 ; Conference date: 10-12-2018 Through 13-12-2018",

year = "2018",

doi = "10.1109/WIFS.2018.8630782",

language = "English",

isbn = "9781538665374",

pages = "1--7",

editor = "{C Yuen}, {Pong } and Jiwu Huang",

booktitle = "10th IEEE International Workshop on Information Forensics and Security, WIFS 2018",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

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Lee, MJ, Jin, Z & Teoh, ABJ 2018, One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing. in P C Yuen & J Huang (eds), 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1-7, IEEE International Workshop on Information Forensics and Security (WIFS) 2018, Hong Kong, China, 10/12/18. https://doi.org/10.1109/WIFS.2018.8630782

One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing. / Lee, Ming Jie; Jin, Zhe; Teoh, Andrew Beng Jin.
10th IEEE International Workshop on Information Forensics and Security, WIFS 2018. ed. / Pong C Yuen; Jiwu Huang. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 1-7.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - One-factor cancellable scheme for fingerprint template protection

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AU - Lee, Ming Jie

AU - Jin, Zhe

AU - Teoh, Andrew Beng Jin

N1 - Conference code: 10th

PY - 2018

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N2 - Cancellable biometrics is a biometric template protection method that generates a noninvertible identifier from the original biometric template by means of a parameterized transformation function and user/application-specific parameters such as token or password. However, the necessity to input additional factor besides biometrics, jeopardizes usability of the biometrics and security. In this paper, a one-factor cancellable biometrics scheme namely Extended Feature Vector (EFV) hashing, which requires sole biometric as input is proposed. The EFV hashing utilizes a permutated key that separated from the biometric data, to serve as identifier for matching. The crux that enables one-factor authentication in this scheme is the permutation seed of the key is derived from the biometric features of the user, but not from second factor as in existing schemes. The evaluations have been carried out with FVC 2002 and 2004 databases and attest the proposed method satisfies cancellable biometrics design criteria. We also analyze four privacy and security attacks that targeted to this scheme.

AB - Cancellable biometrics is a biometric template protection method that generates a noninvertible identifier from the original biometric template by means of a parameterized transformation function and user/application-specific parameters such as token or password. However, the necessity to input additional factor besides biometrics, jeopardizes usability of the biometrics and security. In this paper, a one-factor cancellable biometrics scheme namely Extended Feature Vector (EFV) hashing, which requires sole biometric as input is proposed. The EFV hashing utilizes a permutated key that separated from the biometric data, to serve as identifier for matching. The crux that enables one-factor authentication in this scheme is the permutation seed of the key is derived from the biometric features of the user, but not from second factor as in existing schemes. The evaluations have been carried out with FVC 2002 and 2004 databases and attest the proposed method satisfies cancellable biometrics design criteria. We also analyze four privacy and security attacks that targeted to this scheme.

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DO - 10.1109/WIFS.2018.8630782

M3 - Conference Paper

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BT - 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018

A2 - C Yuen, Pong

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PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

Y2 - 10 December 2018 through 13 December 2018

ER -

One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing

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